Open AccessChanneled compressive imaging spectropolarimeter
Author(s) -
Wang Ren,
Chen Fu,
Dan Wu,
Yuanyuan Xie,
Gonzalo R. Arce
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.002197
Subject(s) - optics , polarizer , retarder , polarization (electrochemistry) , spectral imaging , compressed sensing , polarimetry , stokes parameters , superimposition , materials science , computer science , physics , birefringence , artificial intelligence , scattering , chemistry , composite material
A compressive imaging spectropolarimeter is proposed in this paper, capable of simultaneously acquiring full polarization, spatial and spectral information of the object scene. The spectral and polarization information is modulated through a combination of high-order retarders, a dispersion prism and a polarizer filter wheel. Using a random coded aperture, compressive sensing is applied to eliminate the channel crosstalk and resolution limitation of traditional channeled spectropolarimeters. The forward sensing model and inverse problem are developed. Computer simulation results are reported, followed by experimental demonstrations.